AI fairness is a pressing issue in our increasingly algorithmic world. In our new paper, Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination, we examine the challenge of racial justice in lending and make algorithmic recommendations for better policy and practice in banking.
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Warehouse receipts can help farmers access credit and command higher prices for their goods, but high profile frauds with paper documents make lenders and buyers wary. Our team at the MIT Media Lab and MIT Sloan developed a new open-source protocol for creating secure registries for public documents.
Nefarious industries like drug cartels and human trafficking rely on sophisticated money laundering schemes to operate. At the MIT-IBM Watson AI Lab, we’re working to develop new graph deep learning models to stop them.